The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-06-17"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "8349950 (up from 8173940 yesterday: 2.15 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "448959 (up from 443685 yesterday: 1.19 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 5.38



In- Depth Country Wise Stats (With Atleast 5000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 2163290 25559 1.20 117717 754 0.64 5.44
Brazil 955377 32188 3.49 46510 1269 2.80 4.87
Russia 552549 7824 1.44 7468 194 2.67 1.35
India 366946 12881 3.64 12237 334 2.81 3.33
United Kingdom 300717 1117 0.37 42238 184 0.44 14.05
Spain 244683 355 0.15 27136 0 0.00 11.09
Peru 240908 3752 1.58 7257 201 2.85 3.01
Italy 237828 328 0.14 34448 43 0.12 14.48
Chile 220628 36179 19.61 3615 232 6.86 1.64
Iran 195051 2612 1.36 9185 120 1.32 4.71
France 194805 458 0.24 29578 28 0.09 15.18
Germany 188604 352 0.19 8851 31 0.35 4.69
Turkey 182727 1429 0.79 4861 19 0.39 2.66
Pakistan 160118 5358 3.46 3093 118 3.97 1.93
Mexico 159793 4930 3.18 19080 770 4.21 11.94
Saudi Arabia 141234 4919 3.61 1091 39 3.71 0.77
Canada 101491 404 0.40 8312 41 0.50 8.19
Bangladesh 98489 4008 4.24 1305 43 3.41 1.33
China 84458 36 0.04 4638 0 0.00 5.49
Qatar 83174 1097 1.34 82 2 2.50 0.10
South Africa 80412 4078 5.34 1674 49 3.02 2.08
Belgium 60244 89 0.15 9675 12 0.12 16.06
Belarus 56032 663 1.20 324 6 1.89 0.58
Colombia 55083 1872 3.52 1887 79 4.37 3.43
Sweden 54562 1239 2.32 5041 102 2.07 9.24
Netherlands 49412 117 0.24 6093 4 0.07 12.33
Egypt 49219 1363 2.85 1850 84 4.76 3.76
Ecuador 48490 547 1.14 4007 37 0.93 8.26
United Arab Emirates 43364 382 0.89 295 2 0.68 0.68
Indonesia 41431 1031 2.55 2276 45 2.02 5.49
Singapore 41216 247 0.60 26 0 0.00 0.06
Portugal 37672 336 0.90 1523 1 0.07 4.04
Kuwait 37533 575 1.56 306 3 0.99 0.82
Argentina 35552 1393 4.08 913 35 3.99 2.57
Ukraine 33986 777 2.34 953 31 3.36 2.80
Switzerland 31187 33 0.11 1956 2 0.10 6.27
Poland 30701 506 1.68 1286 14 1.10 4.19
Philippines 27238 457 1.71 1108 5 0.45 4.07
Afghanistan 26874 564 2.14 504 13 2.65 1.88
Oman 26079 810 3.21 116 2 1.75 0.44
Ireland 25341 7 0.03 1710 1 0.06 6.75
Iraq 24254 1554 6.85 773 61 8.57 3.19
Dominican Republic 24105 419 1.77 633 18 2.93 2.63
Romania 22760 345 1.54 1451 14 0.97 6.38
Panama 22597 635 2.89 470 13 2.84 2.08
Bolivia 20685 802 4.03 679 20 3.03 3.28
Bahrain 19961 408 2.09 49 2 4.26 0.25
Israel 19783 288 1.48 303 1 0.33 1.53
Armenia 18033 544 3.11 302 9 3.07 1.67
Nigeria 17735 587 3.42 469 14 3.08 2.64
Japan 17530 46 0.26 935 1 0.11 5.33
Austria 17203 14 0.08 687 6 0.88 3.99
Kazakhstan 15877 335 2.16 97 9 10.23 0.61
Moldova 12732 478 3.90 433 10 2.36 3.40
Ghana 12590 397 3.26 66 8 13.79 0.52
Serbia 12522 96 0.77 257 1 0.39 2.05
Denmark 12494 44 0.35 598 0 0.00 4.79
Korea, South 12257 59 0.48 280 1 0.36 2.28
Algeria 11268 121 1.09 799 11 1.40 7.09
Guatemala 11251 545 5.09 432 14 3.35 3.84
Azerbaijan 10991 329 3.09 133 7 5.56 1.21
Honduras 10299 643 6.66 336 6 1.82 3.26
Czechia 10162 51 0.50 333 2 0.60 3.28
Cameroon 9864 0 0.00 276 0 0.00 2.80
Morocco 8997 66 0.74 213 1 0.47 2.37
Norway 8692 32 0.37 243 1 0.41 2.80
Malaysia 8515 10 0.12 121 0 0.00 1.42
Sudan 8020 280 3.62 487 10 2.10 6.07
Australia 7391 21 0.28 102 0 0.00 1.38
Nepal 7177 586 8.89 20 1 5.26 0.28
Finland 7117 5 0.07 326 0 0.00 4.58
Cote d’Ivoire 6063 384 6.76 48 2 4.35 0.79
Uzbekistan 5682 189 3.44 19 0 0.00 0.33
Senegal 5369 122 2.33 73 3 4.29 1.36
Tajikistan 5221 61 1.18 51 1 2.00 0.98
Congo (Kinshasa) 5100 126 2.53 115 3 2.68 2.25

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 385142 567 0.15 30939 30 0.10 8.03 19798.02 1590.40 1 in 51
New Jersey 167703 277 0.17 12835 43 0.34 7.65 18880.82 1445.03 1 in 53
California 162798 3837 2.41 5271 71 1.37 3.24 4120.19 133.40 1 in 243
Illinois 134185 546 0.41 6485 87 1.36 4.83 10589.24 511.77 1 in 94
Massachusetts 106151 266 0.25 7733 69 0.90 7.28 15274.62 1112.74 1 in 65
Texas 97699 4130 4.41 2089 40 1.95 2.14 3369.41 72.04 1 in 297
Pennsylvania 84289 311 0.37 6319 43 0.69 7.50 6584.06 493.60 1 in 152
Florida 82719 2610 3.26 3018 25 0.84 3.65 3851.38 140.52 1 in 260
Michigan 66497 228 0.34 6036 2 0.03 9.08 6658.45 604.39 1 in 150
Maryland 62969 560 0.90 2996 14 0.47 4.76 10415.54 495.56 1 in 96
Georgia 60030 952 1.61 2575 46 1.82 4.29 5653.91 242.53 1 in 177
Virginia 55775 444 0.80 1583 13 0.83 2.84 6534.46 185.46 1 in 153
Louisiana 48634 928 1.95 3062 20 0.66 6.30 10461.64 658.67 1 in 96
North Carolina 46934 1027 2.24 1181 12 1.03 2.52 4474.98 112.60 1 in 223
Connecticut 45429 80 0.18 4219 9 0.21 9.29 12742.03 1183.35 1 in 78
Ohio 42422 412 0.98 2611 12 0.46 6.15 3629.19 223.37 1 in 276
Indiana 41013 227 0.56 2475 28 1.14 6.03 6092.05 367.64 1 in 164
Arizona 40937 1752 4.47 1249 21 1.71 3.05 5375.91 164.02 1 in 186
Tennessee 32114 363 1.14 498 5 1.01 1.55 4699.72 72.88 1 in 213
Minnesota 31296 414 1.34 1357 13 0.97 4.34 5549.30 240.62 1 in 180
Colorado 29656 229 0.78 1631 14 0.87 5.50 5149.74 283.22 1 in 194
Alabama 27312 400 1.49 790 5 0.64 2.89 5570.26 161.12 1 in 180
Washington 26784 253 0.95 1226 -5 -0.41 4.58 3517.32 161.00 1 in 284
Iowa 24460 281 1.16 675 10 1.50 2.76 7752.60 213.94 1 in 129
Wisconsin 23456 258 1.11 713 10 1.42 3.04 4028.56 122.46 1 in 248
Mississippi 20641 489 2.43 938 23 2.51 4.54 6935.47 315.17 1 in 144
South Carolina 20556 566 2.83 617 10 1.65 3.00 3992.45 119.84 1 in 250
Nebraska 17231 193 1.13 234 3 1.30 1.36 8907.63 120.97 1 in 112
Missouri 17069 212 1.26 909 18 2.02 5.33 2781.13 148.11 1 in 360
Rhode Island 16213 49 0.30 876 11 1.27 5.40 15304.51 826.91 1 in 65
Utah 15344 407 2.72 149 4 2.76 0.97 4786.09 46.48 1 in 209
Arkansas 13606 415 3.15 197 9 4.79 1.45 4508.55 65.28 1 in 222
Kentucky 12995 348 2.75 518 13 2.57 3.99 2908.67 115.94 1 in 344
Nevada 11854 171 1.46 473 6 1.28 3.99 3848.51 153.56 1 in 260
Kansas 11644 233 2.04 247 1 0.41 2.12 3996.82 84.78 1 in 250
Delaware 10444 41 0.39 426 2 0.47 4.08 10725.39 437.48 1 in 93
New Mexico 10065 132 1.33 452 5 1.12 4.49 4800.11 215.56 1 in 208
District of Columbia 9847 29 0.30 523 3 0.58 5.31 13952.55 741.06 1 in 72
Oklahoma 8904 259 3.00 364 1 0.28 4.09 2250.21 91.99 1 in 444
Oregon 6218 120 1.97 183 1 0.55 2.94 1474.25 43.39 1 in 678
South Dakota 6050 84 1.41 78 1 1.30 1.29 6838.79 88.17 1 in 146
Puerto Rico 6003 52 0.87 147 0 0.00 2.45 1879.64 46.03 1 in 532
New Hampshire 5436 72 1.34 330 4 1.23 6.07 3997.91 242.70 1 in 250
Idaho 3632 170 4.91 88 0 0.00 2.42 2026.71 49.11 1 in 493
North Dakota 3166 42 1.34 74 0 0.00 2.34 4154.52 97.10 1 in 241
Maine 2836 17 0.60 102 1 0.99 3.60 2109.79 75.88 1 in 474
West Virginia 2376 35 1.50 88 0 0.00 3.70 1329.49 49.24 1 in 752
Vermont 1130 -1 -0.09 55 0 0.00 4.87 1810.93 88.14 1 in 552
Wyoming 1114 25 2.30 18 0 0.00 1.62 1924.81 31.10 1 in 520
Hawaii 744 8 1.09 17 0 0.00 2.28 525.47 12.01 1 in 1903
Alaska 695 20 2.96 12 0 0.00 1.73 950.04 16.40 1 in 1053
Montana 630 16 2.61 20 1 5.26 3.17 589.46 18.71 1 in 1696

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 3111119 385142 12.38 159925.42
New Jersey 1147841 167703 14.61 129229.50
California 2997988 162798 5.43 75874.95
Illinois 1259189 134185 10.66 99369.22
Massachusetts 732046 106151 14.50 105337.89
Texas 1369638 97699 7.13 47235.61
Pennsylvania 612831 84289 13.75 47869.98
Florida 1485759 82719 5.57 69176.70
Michigan 849885 66497 7.82 85100.35
Maryland 441343 62969 14.27 73001.38
Georgia 650467 60030 9.23 61264.11
Virginia 494341 55775 11.28 57915.75
Louisiana 545221 48634 8.92 117282.25
North Carolina 667422 46934 7.03 63636.22
Connecticut 367858 45429 12.35 103177.67
Ohio 584563 42422 7.26 50009.24
Indiana 371182 41013 11.05 55135.16
Arizona 366193 40937 11.18 48089.05
Tennessee 644573 32114 4.98 94329.96
Minnesota 448587 31296 6.98 79541.89
Colorado 256667 29656 11.55 44570.02
Alabama 310723 27312 8.79 63371.67
Washington 480026 26784 5.58 63037.79
Iowa 235131 24460 10.40 74524.81
Wisconsin 447190 23456 5.25 76804.65
Mississippi 244389 20641 8.45 82115.85
South Carolina 272754 20556 7.54 52975.17
Nebraska 142387 17231 12.10 73607.53
Missouri 285002 17069 5.99 46436.72
Rhode Island 206470 16213 7.85 194900.51
Utah 278692 15344 5.51 86929.40
Arkansas 220699 13606 6.16 73131.81
Kentucky 299869 12995 4.33 67119.73
Nevada 227610 11854 5.21 73895.61
Kansas 142124 11644 8.19 48784.31
Delaware 86587 10444 12.06 88919.90
New Mexico 271553 10065 3.71 129506.51
District of Columbia 70086 9847 14.05 99307.26
Oklahoma 265432 8904 3.35 67079.59
Oregon 184350 6218 3.37 43708.27
South Dakota 68988 6050 8.77 77982.59
Puerto Rico 6003 6003 100.00 1879.64
New Hampshire 100086 5436 5.43 73608.29
Idaho 66784 3632 5.44 37266.51
North Dakota 89674 3166 3.53 117672.84
Maine 74018 2836 3.83 55064.23
West Virginia 141370 2376 1.68 79103.73
Vermont 53663 1130 2.11 85999.91
Wyoming 35069 1114 3.18 60593.44
Hawaii 63243 744 1.18 44667.17
Alaska 77709 695 0.89 106225.86
Montana 65515 630 0.96 61298.98

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 120504 7059 6.22 60838 50.49 53902 5751 214 3.86 4.77
Tamil Nadu 52334 4315 8.99 28641 54.73 23068 625 97 18.37 1.19
Delhi 47102 2414 5.40 17457 37.06 27741 1904 67 3.65 4.04
Gujarat 25658 1030 4.18 17827 69.48 6239 1592 58 3.78 6.20
Uttar Pradesh 15785 1187 8.13 9638 61.06 5659 488 53 12.18 3.09
Rajasthan 13857 641 4.85 10742 77.52 2785 330 22 7.14 2.38
West Bengal 12735 826 6.94 7001 54.97 5216 518 23 4.65 4.07
Madhya Pradesh 11426 343 3.09 8632 75.55 2308 486 10 2.10 4.25
Haryana 9218 946 11.44 4556 49.43 4528 134 16 13.56 1.45
State Unassigned 8703 430 5.20 0 0.00 8703 0 0 NaN 0.00
Karnataka 7944 414 5.50 4983 62.73 2842 115 20 21.05 1.45
Andhra Pradesh 7496 776 11.55 3772 50.32 3632 92 4 4.55 1.23
Bihar 7040 230 3.38 4961 70.47 2035 44 5 12.82 0.62
Telangana 6027 621 11.49 3301 54.77 2531 195 4 2.09 3.24
Jammu and Kashmir 5555 257 4.85 3144 56.60 2340 71 8 12.70 1.28
Assam 4861 350 7.76 2849 58.61 2000 9 1 12.50 0.19
Odisha 4512 174 4.01 3144 69.68 1354 14 0 0.00 0.31
Punjab 3615 244 7.24 2570 71.09 962 83 11 15.28 2.30
Kerala 2795 172 6.56 1413 50.55 1358 22 1 4.76 0.79
Uttarakhand 2103 161 8.29 1386 65.91 678 26 1 4.00 1.24
Chhattisgarh 1946 162 9.08 1202 61.77 735 9 0 0.00 0.46
Jharkhand 1919 80 4.35 1198 62.43 710 11 2 22.22 0.57
Tripura 1153 63 5.78 556 48.22 596 1 0 0.00 0.09
Goa 705 76 12.08 109 15.46 596 0 0 NaN 0.00
Ladakh 687 38 5.86 95 13.83 591 1 0 0.00 0.15
Manipur 606 106 21.20 199 32.84 407 0 0 NaN 0.00
Himachal Pradesh 595 35 6.25 373 62.69 204 7 0 0.00 1.18
Chandigarh 374 6 1.63 306 81.82 62 6 0 0.00 1.60
Puducherry 245 29 13.43 109 44.49 131 5 1 25.00 2.04
Nagaland 193 12 6.63 109 56.48 84 0 0 NaN 0.00
Mizoram 130 9 7.44 1 0.77 129 0 0 NaN 0.00
Arunachal Pradesh 103 4 4.04 10 9.71 93 0 0 NaN 0.00
Sikkim 70 -2 -2.78 4 5.71 66 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 60 6 11.11 14 23.33 46 0 0 NaN 0.00
Andaman and Nicobar Islands 45 1 2.27 35 77.78 10 0 0 NaN 0.00
Meghalaya 43 -1 -2.27 32 74.42 10 1 0 0.00 2.33
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 917881 92302 242 0.26 10.06 1796 59 14972 16480 17.85
Piemonte 377165 31131 41 0.13 8.25 448 25 2385 4026 12.93
Emilia-Romagna 426730 28111 14 0.05 6.59 173 11 1345 4215 14.99
Veneto 837394 19225 4 0.02 2.30 37 1 680 1987 10.34
Toscana 300612 10193 2 0.02 3.39 33 14 444 1092 10.71
Liguria 130870 9896 5 0.05 7.56 73 2 244 1532 15.48
Lazio 305906 7977 10 0.13 2.61 284 38 1039 818 10.25
Marche 123770 6764 1 0.01 5.46 21 0 585 994 14.70
Campania 258207 4614 1 0.02 1.79 48 2 258 431 9.34
Puglia 154143 4516 0 0.00 2.93 46 2 324 536 11.87
P.A. Trento 105841 4449 1 0.02 4.20 2 0 58 465 10.45
Sicilia 184412 3462 2 0.06 1.88 25 3 805 280 8.09
Friuli Venezia Giulia 166064 3299 2 0.06 1.99 16 0 99 343 10.40
Abruzzo 94391 3281 2 0.06 3.48 61 2 438 457 13.93
P.A. Bolzano 77230 2611 0 0.00 3.38 8 1 87 292 11.18
Umbria 84511 1437 0 0.00 1.70 7 2 18 77 5.36
Sardegna 71452 1366 1 0.07 1.91 11 0 31 132 9.66
Valle d’Aosta 16918 1191 0 0.00 7.04 5 0 8 144 12.09
Calabria 84265 1162 0 0.00 1.38 18 0 33 97 8.35
Molise 19635 440 1 0.23 2.24 1 0 62 23 5.23
Basilicata 36011 401 0 0.00 1.11 0 1 10 27 6.73

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 54263 117 0.22 5298 29 0.55 9.76 6355.71 620.54 1 in 157
Ontario 34382 208 0.61 2607 12 0.46 7.58 2337.03 177.20 1 in 428
Alberta 7530 48 0.64 151 0 0.00 2.01 1706.27 34.22 1 in 586
British Columbia 2775 19 0.69 168 0 0.00 6.05 542.96 32.87 1 in 1842
Nova Scotia 1061 0 0.00 62 0 0.00 5.84 1085.47 63.43 1 in 921
Saskatchewan 693 9 1.32 13 0 0.00 1.88 586.46 11.00 1 in 1705
Manitoba 306 2 0.66 7 0 0.00 2.29 222.14 5.08 1 in 4502
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 164 1 0.61 2 0 0.00 1.22 210.26 2.56 1 in 4756
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1628 8 0.49
Henan 1276 22 1.72
Zhejiang 1269 1 0.08
Hong Kong 1120 4 0.36
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Shandong 792 7 0.88
Beijing 752 9 1.20
Shanghai 697 7 1.00
Jiangsu 653 0 0.00
Sichuan 589 3 0.51
Chongqing 582 6 1.03
Fujian 362 1 0.28
Hebei 338 6 1.78
Shaanxi 314 3 0.96
Guangxi 254 2 0.79
Inner Mongolia 238 1 0.42
Shanxi 198 0 0.00
Tianjin 197 3 1.52
Yunnan 185 2 1.08
Hainan 171 6 3.51
Jilin 155 2 1.29
Liaoning 152 2 1.32
Gansu 150 2 1.33
Guizhou 147 2 1.36
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 6611.52 359.77 1 in 151
Brazil 4564.63 222.22 1 in 219
Russia 3823.87 51.68 1 in 262
India 274.04 9.14 1 in 3649
United Kingdom 4526.14 635.73 1 in 221
Spain 5243.96 581.57 1 in 191
Peru 7488.59 225.58 1 in 134
Italy 3932.34 569.58 1 in 254
Chile 12223.16 200.28 1 in 82
Iran 2403.29 113.17 1 in 416
France 2907.97 441.53 1 in 344
Germany 2278.10 106.91 1 in 439
Turkey 2261.19 60.15 1 in 442
Pakistan 812.78 15.70 1 in 1230
Mexico 1236.79 147.68 1 in 809
Saudi Arabia 4287.61 33.12 1 in 233
Canada 2699.95 221.12 1 in 370
Bangladesh NA NA 1 in NA
China 60.94 3.35 1 in 16411
Qatar 31517.24 31.07 1 in 32

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 210941 22171 10.51
Cook Illinois 85858 4304 5.01
Los Angeles California 77260 2992 3.87
Nassau New York 41320 2171 5.25
Suffolk New York 40770 1958 4.80
Westchester New York 34385 1407 4.09
Philadelphia Pennsylvania 24655 1528 6.20
Middlesex Massachusetts 23346 1781 7.63
Miami-Dade Florida 23273 850 3.65
Maricopa Arizona 22272 579 2.60
Wayne Michigan 21897 2676 12.22
Suffolk Massachusetts 19434 959 4.93
Hudson New Jersey 19238 1290 6.71
Bergen New Jersey 18928 1681 8.88
Essex New Jersey 18421 1755 9.53
Harris Texas 18157 298 1.64
Prince George’s Maryland 17611 648 3.68
Passaic New Jersey 16683 1007 6.04
Middlesex New Jersey 16513 1094 6.63
Fairfield Connecticut 16381 1352 8.25
Union New Jersey 16315 1131 6.93
Essex Massachusetts 15703 1057 6.73
Dallas Texas 15256 302 1.98
Montgomery Maryland 13819 704 5.09
Rockland New York 13467 665 4.94
Fairfax Virginia 13153 429 3.26
Providence Rhode Island 12363 0 0.00
New Haven Connecticut 12089 1052 8.70
Worcester Massachusetts 12032 888 7.38
Riverside California 11951 399 3.34
Oakland Michigan 11384 1069 9.39
Hartford Connecticut 11284 1331 11.80
Marion Indiana 10862 657 6.05
Orange New York 10599 473 4.46
Hennepin Minnesota 10415 727 6.98
District of Columbia District of Columbia 9847 523 5.31
Broward Florida 9812 360 3.67
Milwaukee Wisconsin 9750 356 3.65
San Diego California 9730 323 3.32
Palm Beach Florida 9472 444 4.69
Clark Nevada 9318 386 4.14
Ocean New Jersey 9306 828 8.90
Orange California 9197 243 2.64
Lake Illinois 9154 389 4.25
Norfolk Massachusetts 8908 903 10.14
King Washington 8885 591 6.65
Monmouth New Jersey 8804 688 7.81
DuPage Illinois 8546 435 5.09
Plymouth Massachusetts 8522 631 7.40
Jefferson Louisiana 8507 472 5.55

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc